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Fundamentals of Supervised Machine Learning [2023]

1
The Basics of Machine Learning
2
The Statistics of Machine Learning
3
Model Selection and Regularization
4
Discriminant Analysis, Nearest Neighbor, and Support Vector Machine
5
Tree Modeling
6
Artificial Neural Networks
7
Deep Learning
8
Sentiment Analysis
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